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Rega

Bioc current

R Interface to European Genome-Phenome Archive

v1.0.2 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

The European Genome-phenome Archive (EGA) provides long-term storage and controlled sharing of personally identifiable genetic data. The Rega package offers a streamlined and extensible R interface to the EGA API, facilitating the programmatic upload of metadata. GEO-like Excel submission template is provided as a default method of organizing submission metadata.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

87 64 exported

Complexity

4.9 avg / 15 max

Call network

87 nodes / 171 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

21,391

Files

208

Compiled share

0%

Has compiled src

No

Language breakdown

R 4,684 (21.9%)Tests 13,330 (62.3%)Docs 3,078 (14.4%)Vignettes 299 (1.4%)

API

Exported functions

65

Internal functions

23

Recent export changes

v3.23+65 DELIM_CONVERTERS, add_required_str, aliases_formatter +62 more

Testing

Has tests

Yes

Test-to-code ratio

2.85

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.6

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-06-09

Latest release

2026-06-09

Avg cadence

–

Cold removal rate

–

Dep drift

0

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMEYes · 861 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
89 (24 internal)
Examples that run
99%87 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
98%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

Checks run against github.com/ivanek/rega on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 1
NameClassSizeAlso in
ega_enumslist16 elementsNo other package

All of Rega's data objects

Topics

Maintainer
Igor Cervenka

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Rega")
Cervenka, I., El Taher, A., & Ivanek, R. (2026). Rega: R Interface to European Genome-Phenome Archive (Version 1.0.2) [Computer software]. https://bioconductor.org/packages/Rega

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for Rega version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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